EP0980063A3 - Memory management in search phase of a speech recognizer - Google Patents

Memory management in search phase of a speech recognizer Download PDF

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Publication number
EP0980063A3
EP0980063A3 EP99202618A EP99202618A EP0980063A3 EP 0980063 A3 EP0980063 A3 EP 0980063A3 EP 99202618 A EP99202618 A EP 99202618A EP 99202618 A EP99202618 A EP 99202618A EP 0980063 A3 EP0980063 A3 EP 0980063A3
Authority
EP
European Patent Office
Prior art keywords
slot
size
index
memory management
memory
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP99202618A
Other languages
German (de)
French (fr)
Other versions
EP0980063A2 (en
EP0980063B1 (en
Inventor
Yo-Hong Kao
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Texas Instruments Inc
Original Assignee
Texas Instruments Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Texas Instruments Inc filed Critical Texas Instruments Inc
Publication of EP0980063A2 publication Critical patent/EP0980063A2/en
Publication of EP0980063A3 publication Critical patent/EP0980063A3/en
Application granted granted Critical
Publication of EP0980063B1 publication Critical patent/EP0980063B1/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/28Constructional details of speech recognition systems
    • G10L15/285Memory allocation or algorithm optimisation to reduce hardware requirements
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
    • G10L15/187Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L2015/085Methods for reducing search complexity, pruning

Abstract

A memory management method is described for reducing the size of memory required in speech recognition searching. The searching involves parsing the input speech and building a dynamically changing search tree. The basic unit of the search network is a slot. The present invention describes ways of reducing the size of the slot and therefore the size of the required memory. The slot size is reduced by removing the time index, by the model_index and state_index being packed and by a coding for last_time field where one bit represents a slot is available for reuse and a second bit is for backtrace update.
EP99202618A 1998-08-12 1999-08-12 Memory management in search phase of a speech recognizer Expired - Lifetime EP0980063B1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US9620498P 1998-08-12 1998-08-12
US96204P 1998-08-12

Publications (3)

Publication Number Publication Date
EP0980063A2 EP0980063A2 (en) 2000-02-16
EP0980063A3 true EP0980063A3 (en) 2000-03-01
EP0980063B1 EP0980063B1 (en) 2004-05-19

Family

ID=22256340

Family Applications (1)

Application Number Title Priority Date Filing Date
EP99202618A Expired - Lifetime EP0980063B1 (en) 1998-08-12 1999-08-12 Memory management in search phase of a speech recognizer

Country Status (4)

Country Link
US (1) US6374222B1 (en)
EP (1) EP0980063B1 (en)
AT (1) ATE267444T1 (en)
DE (1) DE69917389T2 (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7024350B2 (en) * 2000-07-20 2006-04-04 Microsoft Corporation Compact easily parseable binary format for a context-free grammer
US7035802B1 (en) * 2000-07-31 2006-04-25 Matsushita Electric Industrial Co., Ltd. Recognition system using lexical trees
GB2384901B (en) 2002-02-04 2004-04-21 Zentian Ltd Speech recognition circuit using parallel processors
US20060271368A1 (en) * 2005-05-25 2006-11-30 Yishay Carmiel Voice interface for consumer products
JP4405542B2 (en) * 2007-10-24 2010-01-27 株式会社東芝 Apparatus, method and program for clustering phoneme models
US8972263B2 (en) * 2011-11-18 2015-03-03 Soundhound, Inc. System and method for performing dual mode speech recognition
US9336775B2 (en) * 2013-03-05 2016-05-10 Microsoft Technology Licensing, Llc Posterior-based feature with partial distance elimination for speech recognition
US9817881B2 (en) * 2013-10-16 2017-11-14 Cypress Semiconductor Corporation Hidden markov model processing engine

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0248377A2 (en) * 1986-06-02 1987-12-09 Motorola, Inc. Continuous speech recognition system

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4977598A (en) * 1989-04-13 1990-12-11 Texas Instruments Incorporated Efficient pruning algorithm for hidden markov model speech recognition
US5291499A (en) * 1992-03-16 1994-03-01 Cirrus Logic, Inc. Method and apparatus for reduced-complexity viterbi-type sequence detectors
US6230128B1 (en) * 1993-03-31 2001-05-08 British Telecommunications Public Limited Company Path link passing speech recognition with vocabulary node being capable of simultaneously processing plural path links
JP2768621B2 (en) * 1993-06-25 1998-06-25 沖電気工業株式会社 Decoding apparatus for convolutional code transmitted in a distributed manner

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0248377A2 (en) * 1986-06-02 1987-12-09 Motorola, Inc. Continuous speech recognition system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
DESHMUKH N ET AL: "Efficient search strategies in hierarchical pattern recognition systems", PROCEEDINGS OF THE TWENTY-SEVENTH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY, PROCEEDINGS OF THE TWENTY-SEVENTH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY, STARKVILLE, MS, USA, 12-14 MARCH 1995, 1995, Los Alamitos, CA, USA, IEEE Comput. Soc. Press, USA, pages 88 - 91, XP002126397, ISBN: 0-8186-6985-3 *
GENNADY FEYGIN ET AL: "ARCHITECTURAL TRADEOFFS FOR SURVIVOR SEQUENCE MEMORY MANAGEMENT IN VITERBI DECODERS", IEEE TRANSACTIONS ON COMMUNICATIONS,US,IEEE INC. NEW YORK, vol. 41, no. 3, March 1993 (1993-03-01), pages 425-429, XP000372685, ISSN: 0090-6778 *
LOU H -L: "IMPLEMENTING THE VITERBI ALGORITHM. FUNDAMENTALS AND REAL-TIME ISSUES FOR PROCESSORS DESIGNERS", IEEE SIGNAL PROCESSING MAGAZINE,US,IEEE INC. NEW YORK, vol. 12, no. 5, September 1995 (1995-09-01), pages 42-52, XP000651033, ISSN: 1053-5888 *

Also Published As

Publication number Publication date
DE69917389T2 (en) 2005-06-02
EP0980063A2 (en) 2000-02-16
EP0980063B1 (en) 2004-05-19
US6374222B1 (en) 2002-04-16
DE69917389D1 (en) 2004-06-24
ATE267444T1 (en) 2004-06-15

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